Francois Chaubard

speaker

744 appearances 1 recordings 1 series first heard Jul 2026 last heard 17 Jul

Francois Chaubard’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Y Combinator Startup Podcast · World Models, Explained · 17 Jul 2026 podcast

They improve by like, I think it was like 24% or something like that.

And then if you take the other one and they just blindfold them and they imagine laying up a basketball, they improve it 23%.

Interesting.

Against the control.

I mean, that's insane.

It means that we have this crazy good world model.

And there's this neuroscientist at Stanford named Shaw Druckmann, who basically is of the view that the entire point of the growing neocortex during the great cortical expansion 10 million years ago was to get better and better and better and better world modeling.

And having just like my little VLA, which we'll define, of predicting the next action is not as good as having a world model to lean on, either for training purposes or for test time adaptation.

Yeah, let's do it.

So let's actually take a step back and just talk about control, reinforcement learning, and define some common terms.

So typically, we teach a course called Decision Making Under Uncertainty, which is the main reinforcement learning course at Stanford.

I like to show a specific example of, let's say, I have some drone.

And this is my poor little drone.

Drone here and it has some mass M and we know that that gravity G is pulling down on it.

And it's currently at position T with velocity T, which we will collectively call the state.

And to be really clear, this is going to be PX, PY, PZ, TTT, and VX, VY, VZ.

It's like the six dimensional state vector.

And we have, uh, some thrust vector U that we control and we're trying to get to some point P star and V star, which is V star is typically zero.

And so you have some platform that I want this thing, this John to land on.

This is this control problem, right?

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